2021/05/26 by Gilles Callebaut, Callebaut, Gilles, Sara Gunnarsson +9
Engineering · #Advanced MIMO Systems Optimization #Energy Harvesting in Wireless Networks #FOS: Electrical engineering #Millimeter-Wave Propagation and Modeling #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2105.12402
openalex publication_date 2021/05/26 · openalex created_date 2023/03/18 · openalex updated_date 2026/07/28
Due to the increase of Internet-of-Things (IoT) devices, IoT networks are\ngetting overcrowded. Networks can be extended with more gateways, increasing\nthe number of supported devices. However, as investigated in this work, massive\nMIMO has the potential to increase the number of simultaneous connections,\nwhile also lowering the energy expenditure of these devices. We present a study\nof the channel characteristics of massive MIMO in the unlicensed sub-GHz band.\nThe goal is to support IoT applications with strict requirements in terms of\nnumber of devices, power consumption, and reliability. The assessment is based\non experimental measurements using both a uniform linear and a rectangular\narray. Our study demonstrates and validates the advantages of deploying massive\nMIMO gateways to serve IoT nodes. While the results are general, here we\nspecifically focus on static nodes. The array gain and channel hardening effect\nyield opportunities to lower the transmit-power of IoT nodes while also\nincreasing reliability. The exploration confirms that exploiting large arrays\nbrings great opportunities to connect a massive number of IoT devices by\nseparating the nodes in the spatial domain. In addition, we give an outlook on\nhow static IoT nodes could be scheduled based on partial channel state\ninformation.\n